AI Chips News

According to Bloomberg, Amazon.com Inc. has announced plans to use chips from AI chip startup Cerebras Systems Inc. in conjunction with its own proprietary Trainium processors. The partnership is positioned by both companies as a solution designed to more effectively run AI software workloads. Cerebras is known for its large-scale wafer-level chips, which differ significantly in architecture from conventional GPU-based AI accelerators. The collaboration marks a notable move by Amazon to diversify its AI chip infrastructure beyond its in-house Trainium lineup. Specific financial terms of the arrangement, deployment timelines, and the scale of chip usage were not disclosed in the Bloomberg report.

According to AIBusiness.com, Lenovo engineers are actively considering safety issues related to the development and deployment of personal AI agents on laptops and PCs. The article focuses on AI safety from a hardware perspective, with Lenovo's engineering teams examining the unique challenges that arise when AI agents operate at the device level rather than in cloud environments. The piece highlights that personal agents — AI systems designed to act autonomously on behalf of users — introduce distinct safety considerations specific to consumer hardware platforms. Beyond these details, the article provides limited additional specifics regarding timelines, product names, investment figures, or concrete technical measures being implemented.

Nvidia is holding its GTC 2026 conference, with CEO Jensen Huang delivering the opening keynote on Monday, March 12, 2026, according to TechCrunch. The event is accessible both in person and via livestream. GTC, or GPU Technology Conference, is Nvidia's flagship annual developer and industry conference, historically used to announce major product launches, partnerships, and strategic directions. The article provides guidance on how audiences can tune in to Huang's address. No specific product announcements or keynote content details were disclosed in the source article.

Synopsys CEO Sassine Ghazi appeared on Bloomberg Tech with hosts Ed Ludlow and Caroline Hyde on March 11, 2026, to discuss the company's strategic direction and AI integration. Ghazi stated that Synopsys is deploying AI across its product portfolio, emphasizing the breadth of AI adoption within the electronic design automation (EDA) firm. He addressed the company's acquisition and integration of Ansys, a simulation software company, highlighting how the combined entity is positioned in the market. Ghazi also spoke to AI's potential role in accelerating the chip manufacturing and design process, a key value proposition for Synopsys customers in the semiconductor industry. Additionally, he commented on AI's connection to the recent selloff seen in software stocks, providing the company's perspective on market dynamics affecting the sector.

According to Bloomberg, Meta is preparing to deploy four new generations of in-house artificial intelligence chips by the end of 2027, marking a significant expansion of the company's custom silicon program. The initiative is aimed at powering Meta's rapidly growing AI workloads as the social media giant reduces its reliance on third-party chip suppliers. Bloomberg reporter Ed Ludlow was granted access to Meta's AI chip lab, providing a rare inside look at the company's semiconductor development efforts. The deployment of four chip generations within a roughly two-year window signals an aggressive internal hardware roadmap intended to keep pace with escalating AI infrastructure demands.

Bloomberg's Caroline Hyde and Ed Ludlow reported on March 11, 2026, covering three major tech and AI developments. Oracle posted strong third-quarter sales and issued a positive full-year outlook, with continued AI computing demand cited as a key driver of the results. Meta announced plans to deploy four new generations of its proprietary in-house AI chips by the end of 2027, aimed at supporting the company's rapidly expanding AI workloads and reducing reliance on third-party chip suppliers. In a separate development, Uber and Amazon's autonomous vehicle subsidiary Zoox revealed a new partnership that will enable Uber customers to book Zoox robotaxi rides through the Uber platform in Las Vegas, with the service set to launch as early as summer 2026. The Uber-Zoox deal was discussed directly by the CEOs of both companies, according to Bloomberg.

According to TechCrunch, Neura Robotics has entered into a partnership with Qualcomm to build new robots using Qualcomm's IQ10 processors, which were unveiled at CES. The article frames this collaboration as an early step in a broader strategic relationship between the two companies. Neura Robotics, a humanoid and cognitive robotics company, will integrate Qualcomm's IQ10 silicon into its next-generation robotic platforms. The partnership signals Qualcomm's growing push into the robotics and embodied AI hardware space following the CES announcement of the IQ10 chip.

Biotech startup Cortical Labs is developing two small data centers powered by human brain cells, according to Bloomberg. The facilities are located in Singapore and Melbourne, and use lab-grown neurons integrated onto silicon substrates. The project represents an experimental approach to computing that could theoretically serve as an alternative to traditional silicon chip-based infrastructure. Cortical Labs is positioning this biological computing technology as a potential long-term challenger to conventional semiconductor companies, including Nvidia Corp. The initiative is in early experimental stages, with the two small-scale data centers serving as proof-of-concept deployments.

According to Bloomberg, the accelerating demand for artificial intelligence is triggering what the publication describes as a historic memory-chip shortage, with supply constraints expected to ripple across multiple consumer and industrial sectors. The shortage is projected to drive up costs for a wide range of products including smartphones, automobiles, and consumer electronics, as these industries compete with AI infrastructure buildouts for the same memory-chip supply. Bloomberg characterizes meeting the exponential growth in AI chip demand as both extremely expensive and potentially impossible given current manufacturing capacity. The report highlights that AI systems require substantial memory resources, creating a structural supply-demand imbalance that extends well beyond the data center market and into everyday devices. The convergence of AI infrastructure investment and consumer electronics production is placing unprecedented strain on global memory-chip supply chains.

South Korean AI semiconductor startup Rebellions is positioning itself to compete directly with industry giants Nvidia and AMD in the AI chip market, according to a Bloomberg interview published on March 7, 2026. CEO Sunghyun Park outlined the company's competitive ambitions during a conversation with Bloomberg's Haslinda Amin on the sidelines of the IMF Conference: Asia 2050 event. Park discussed Rebellions' strategy for challenging the dominant players in the AI chip space, though specific financial figures, product roadmaps, or timelines were not detailed in the available content. Rebellions is part of a growing wave of challenger semiconductor firms seeking to carve out market share in the rapidly expanding AI accelerator segment currently dominated by Nvidia. The interview underscores the increasing global competition in AI chip development, with Asian startups increasingly signaling ambitions to compete at the highest levels of the market.

Cerebras Systems Inc. has selected Morgan Stanley to lead its initial public offering, according to people familiar with the matter as reported by Bloomberg. The AI chipmaker is mounting a renewed attempt to go public, suggesting a prior IPO effort was either delayed or withdrawn. Cerebras is a notable player in the AI chip sector, competing in a market dominated by Nvidia, and has developed specialized hardware including its Wafer Scale Engine chips designed for AI workloads. The engagement of Morgan Stanley, one of Wall Street's premier IPO underwriters, signals a serious and active push toward a public listing. No specific IPO date, valuation target, or deal size were disclosed in the reporting.

Bloomberg's 'Open Interest' program hosted by Matt Miller and Dani Burger on March 5, 2026 covered several major market-moving developments. Broadcom issued an ambitious AI sales forecast that Bloomberg described as potentially reshaping the competitive dynamics of the chip industry, positioning the company as a direct challenger to Nvidia in the AI semiconductor space. Separately, Morgan Stanley announced a workforce reduction of 3% across all of its global business lines, affecting employees throughout the organization. The broadcast also noted that an Iran war had entered its sixth day, with officials warning of intensifying attacks and an associated spike in oil prices. Partners Capital CEO Arjun Raghavan appeared on the program to discuss what he characterized as hidden AI-related portfolio risks in investor holdings, while Ring founder and Chief Inventor Jamie Siminoff addressed growing concerns surrounding home surveillance technology.

According to a Bloomberg Tech report dated March 5, 2026, Broadcom's CEO has predicted that the company's AI chip sales will exceed $100 billion in 2027, a forecast discussed by Bloomberg anchors Caroline Hyde and Ed Ludlow in the context of Broadcom's latest financial results. The report also notes, citing a person familiar with the matter, that Anthropic has restarted talks with the Pentagon after a previous dispute over the use of AI in military applications. Additionally, the segment covers manufacturing technology startup Nominal, whose CEO Cameron McCord and Founders Fund General Partner Trae Stephens discussed the company's latest funding round and its focus on modernizing manufacturing processes. The Bloomberg report does not specify the exact size of Nominal's funding round in the available content summary.

Bloomberg Television's 'The Close' segment from March 5, 2026 covered a market session characterized by a significant selloff in chipmakers and a sharp rise in oil prices. The program featured a range of high-profile guests including Barclays' Venu Krishna, Moody's Analytics Chief Economist Mark Zandi, and BlackRock's Jaime Magyera, suggesting broad market and economic commentary was provided. Additional guests included former U.S. Energy Secretary Ernest Moniz, CVS Health's Tilak Mandadi, and retail figures such as WSL Strategic Retail's Wendy Liebmann, Ugg Founder Brian Smith, and Alex Mill Chairman Mickey Drexler. The segment, sourced from Bloomberg, covered the final minutes and closing bell activity on Wall Street. However, the article content does not provide specific index levels, percentage moves, or detailed commentary from the guests beyond their identification.

Nvidia Corp. CEO Jensen Huang has publicly ruled out the possibility of his company's investments in OpenAI reaching the $100 billion maximum amount that Nvidia had previously pledged to spend on the AI startup, according to Bloomberg. Huang's comments represent a significant walk-back from the upper limit of Nvidia's earlier commitment to OpenAI. The statement signals that while Nvidia maintains an investment relationship with OpenAI, the scale of that financial commitment will fall short of the headline figure that had been previously cited. The article, sourced from Bloomberg and carrying a relevance score of 82/100, does not specify a revised investment figure or timeline, but Huang's remarks clarify the boundaries of Nvidia's financial exposure to the ChatGPT maker.

Meta Platforms Inc. has announced ambitions to develop its own custom silicon chips capable of training future artificial intelligence models, according to a Bloomberg report. The disclosure came from Meta's chief financial officer, signaling a strategic push toward in-house chip development. This move comes despite Meta having recently secured major deals with leading external chipmakers. The company's dual approach — maintaining partnerships with top chip suppliers while simultaneously investing in proprietary silicon — reflects a longer-term goal of reducing dependence on third-party hardware for AI workloads. No specific timeline, budget figures, or chip specifications were disclosed in the report.

Gil Luria, head of technology research at D.A. Davidson, commented on Broadcom's first-quarter earnings and revenue guidance in an appearance on Bloomberg's 'The Close,' stating 'These are good numbers.' Luria indicated that Broadcom is on track to meet expectations based on the reported results. The commentary was published via Bloomberg on March 4, 2026, with a relevance score of 72 out of 100. However, the source article provides limited additional detail beyond Luria's brief assessment of the company's quarterly performance.

Broadcom Inc. CEO Hock Tan stated that the company expects its AI chip sales to exceed $100 billion in 2027, according to Bloomberg. This projection represents a significant escalation in Broadcom's presence in the AI semiconductor market, a space currently dominated by Nvidia Corp. Tan's forecast signals Broadcom's growing ambitions in custom AI chip design, where it already serves major hyperscaler clients. The $100 billion figure would mark a substantial milestone for Broadcom's AI segment and position the company as a major force in the rapidly expanding AI infrastructure buildout. The Bloomberg article also noted that Broadcom's forecast underwhelmed some investors, reflecting broader anxiety — described as 'AI angst' — around growth expectations in the sector.

ASM International NV issued a first-quarter revenue forecast that exceeded analysts' estimates, according to Bloomberg. The Dutch semiconductor equipment maker attributed the stronger-than-expected outlook to two primary drivers: artificial intelligence-linked capital investments and anticipated robust demand from China. The report highlights how AI infrastructure buildout continues to flow through the semiconductor supply chain, benefiting equipment suppliers upstream of chip manufacturers. ASM International, which produces atomic layer deposition and epitaxy equipment critical to advanced chip production, is positioned at a key node in the semiconductor manufacturing process. The company's guidance beat comes as semiconductor equipment firms broadly navigate a complex environment involving AI-driven demand tailwinds alongside geopolitical considerations around China trade.

Intel Corp. has named Craig H. Barratt as its next chairman, replacing Frank Yeary, according to Bloomberg. Barratt is described as a tech veteran stepping into the role at a pivotal moment for the semiconductor giant. The leadership change comes as Intel is actively working to reassert its chipmaking capabilities and competitive standing in the industry. No specific transition date or additional board restructuring details were provided in the available content of the article.

ASML, the world's sole manufacturer of extreme ultraviolet (EUV) lithography machines used in the production of advanced semiconductors, is reportedly planning to expand its business beyond its core chip lithography operations, according to The Decoder. The company is eyeing a move into advanced packaging, a segment of semiconductor manufacturing that involves assembling and interconnecting multiple chips into a single package. No specific financial figures, timelines, or partnership details were provided in the available content of the article. ASML currently holds a unique and dominant position in the global semiconductor supply chain, as EUV lithography is essential for producing the most advanced chips at leading nodes. The reported expansion would represent a strategic diversification for the Dutch company into an adjacent and rapidly growing area of the chip manufacturing process.

Broadcom Inc. CEO Hock Tan received a total compensation package of $205.3 million in the most recent fiscal year, according to Bloomberg. The majority of this compensation was derived from stock awards, reflecting the significant appreciation in Broadcom's equity value. The surge in pay is directly tied to Broadcom's growing prominence in the artificial intelligence industry, where the company has emerged as a key player. The compensation figure represents a substantial increase from prior periods, underscoring how AI-driven demand has elevated Broadcom's market standing and executive reward structures.

South Korea's exports accelerated in February 2026, according to a Bloomberg report, signaling continued momentum in the country's trade sector. The export growth is being driven in part by solid semiconductor demand, which is providing a cushion for the broader South Korean economy. The strength in exports is reinforcing the Bank of Korea's current neutral monetary policy stance, reducing immediate pressure to adjust interest rates. The central bank is simultaneously monitoring financial stability risks as it evaluates its policy direction going forward.

Meta has signed a multi-billion dollar agreement to rent Google's Tensor Processing Units (TPUs) for AI model training, according to The Decoder. The deal marks a significant shift in Meta's chip strategy, as it turns to Google's proprietary AI hardware rather than relying solely on Nvidia's GPUs. This arrangement represents one of the largest known commercial deployments of Google's TPU infrastructure by an external company.

Nvidia CEO Jensen Huang addressed investors amid expectations for the company's next major growth catalyst, according to Bloomberg. The chipmaker's previously explosive growth trajectory is reportedly being treated as baseline by investors, who are now focused on what comes next for the company.

Nvidia and Meta have agreed to a wide-ranging new AI chip deal, according to AI Business, building on the two companies' existing close relationship. Specific financial terms and deal scope were not disclosed in the report. The agreement reflects continued strong demand for Nvidia's AI chip hardware among major technology firms.

Meta has signed a $100 billion AI chip deal with AMD, according to AI Business. The agreement comes just one week after Meta announced plans to deploy millions of Nvidia chips as part of its broader AI infrastructure expansion, suggesting the company is pursuing a multi-vendor chip strategy.

SambaNova has announced a partnership with Intel aimed at delivering cost-effective AI inference systems, according to AI Business. The collaboration is positioned to address growing market demand for complex, multi-step reasoning capabilities. The move signals SambaNova's strategic intent to compete in the evolving AI inference segment.

Nvidia reported another record quarter, according to TechCrunch, coinciding with record capital expenditure spending across the AI industry. CEO Jensen Huang attributed the strong performance to exponential growth in demand for tokens, reflecting surging appetite for AI compute resources. The results underscore continued robust investment cycles in AI infrastructure.

Nvidia shares fell 5.5% to $184.89, marking the company's worst single-day decline in 10 months, according to Bloomberg. The drop came despite the chipmaker reporting a 73% surge in fourth-quarter revenue and a first-quarter sales outlook that exceeded average analyst estimates. Bloomberg reports that the market reaction reflects growing investor skepticism about whether the current pace of AI-driven spending can be sustained.